623 lines
25 KiB
Python
623 lines
25 KiB
Python
"""
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消息管理模块
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管理每个聊天流的上下文信息，包含历史记录和未读消息，定期检查并处理新消息
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"""
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import asyncio
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import random
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import time
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from collections import defaultdict, deque
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from typing import TYPE_CHECKING, Any
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from src.chat.chatter_manager import ChatterManager
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from src.chat.message_receive.chat_stream import ChatStream
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from src.chat.planner_actions.action_manager import ChatterActionManager
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from src.common.data_models.database_data_model import DatabaseMessages
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from src.common.data_models.message_manager_data_model import MessageManagerStats, StreamStats
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from src.common.logger import get_logger
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from src.config.config import global_config
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from src.plugin_system.apis.chat_api import get_chat_manager
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from .distribution_manager import stream_loop_manager
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from .sleep_system.state_manager import SleepState, sleep_state_manager
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if TYPE_CHECKING:
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pass
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logger = get_logger("message_manager")
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class MessageManager:
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"""消息管理器"""
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def __init__(self, check_interval: float = 5.0):
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self.check_interval = check_interval # 检查间隔（秒）
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self.is_running = False
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self.manager_task: asyncio.Task | None = None
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# 统计信息
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self.stats = MessageManagerStats()
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# 初始化chatter manager
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self.action_manager = ChatterActionManager()
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self.chatter_manager = ChatterManager(self.action_manager)
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# 消息缓存系统 - 直接集成到消息管理器
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self.message_caches: dict[str, deque] = defaultdict(deque) # 每个流的消息缓存
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self.stream_processing_status: dict[str, bool] = defaultdict(bool) # 流的处理状态
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self.cache_stats = {
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"total_cached_messages": 0,
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"total_flushed_messages": 0,
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}
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# 不再需要全局上下文管理器，直接通过 ChatManager 访问各个 ChatStream 的 context_manager
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async def start(self):
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"""启动消息管理器"""
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if self.is_running:
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logger.warning("消息管理器已经在运行")
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return
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self.is_running = True
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# 启动批量数据库写入器
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try:
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from src.chat.message_manager.batch_database_writer import init_batch_writer
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await init_batch_writer()
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except Exception as e:
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logger.error(f"启动批量数据库写入器失败: {e}")
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# 启动流缓存管理器
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try:
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from src.chat.message_manager.stream_cache_manager import init_stream_cache_manager
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await init_stream_cache_manager()
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except Exception as e:
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logger.error(f"启动流缓存管理器失败: {e}")
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# 启动消息缓存系统（内置）
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logger.info("📦 消息缓存系统已启动")
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# 启动自适应流管理器
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try:
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from src.chat.message_manager.adaptive_stream_manager import init_adaptive_stream_manager
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await init_adaptive_stream_manager()
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logger.info("🎯 自适应流管理器已启动")
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except Exception as e:
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logger.error(f"启动自适应流管理器失败: {e}")
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# 启动睡眠和唤醒管理器
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# 睡眠系统的定时任务启动移至 main.py
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# 启动流循环管理器并设置chatter_manager
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await stream_loop_manager.start()
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stream_loop_manager.set_chatter_manager(self.chatter_manager)
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logger.info("🚀 消息管理器已启动 | 流循环管理器已启动")
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async def stop(self):
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"""停止消息管理器"""
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if not self.is_running:
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return
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self.is_running = False
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# 停止批量数据库写入器
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try:
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from src.chat.message_manager.batch_database_writer import shutdown_batch_writer
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await shutdown_batch_writer()
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logger.info("📦 批量数据库写入器已停止")
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except Exception as e:
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logger.error(f"停止批量数据库写入器失败: {e}")
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# 停止流缓存管理器
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try:
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from src.chat.message_manager.stream_cache_manager import shutdown_stream_cache_manager
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await shutdown_stream_cache_manager()
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logger.info("🗄️ 流缓存管理器已停止")
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except Exception as e:
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logger.error(f"停止流缓存管理器失败: {e}")
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# 停止消息缓存系统（内置）
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self.message_caches.clear()
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self.stream_processing_status.clear()
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logger.info("📦 消息缓存系统已停止")
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# 停止自适应流管理器
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try:
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from src.chat.message_manager.adaptive_stream_manager import shutdown_adaptive_stream_manager
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await shutdown_adaptive_stream_manager()
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logger.info("🎯 自适应流管理器已停止")
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except Exception as e:
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logger.error(f"停止自适应流管理器失败: {e}")
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# 停止流循环管理器
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await stream_loop_manager.stop()
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logger.info("🛑 消息管理器已停止 | 流循环管理器已停止")
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async def add_message(self, stream_id: str, message: DatabaseMessages):
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"""添加消息到指定聊天流"""
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# 在消息处理的最前端检查睡眠状态
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current_sleep_state = sleep_state_manager.get_current_state()
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if current_sleep_state == SleepState.SLEEPING:
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logger.info(f"处于 {current_sleep_state.name} 状态，消息被拦截。")
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return # 直接返回，不处理消息
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# TODO: 在这里为 WOKEN_UP_ANGRY 等未来状态添加特殊处理逻辑
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try:
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chat_manager = get_chat_manager()
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chat_stream = await chat_manager.get_stream(stream_id)
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if not chat_stream:
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logger.warning(f"MessageManager.add_message: 聊天流 {stream_id} 不存在")
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return
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await self._check_and_handle_interruption(chat_stream)
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await chat_stream.context_manager.add_message(message)
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except Exception as e:
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logger.error(f"添加消息到聊天流 {stream_id} 时发生错误: {e}")
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async def update_message(
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self,
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stream_id: str,
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message_id: str,
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interest_value: float | None = None,
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actions: list | None = None,
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should_reply: bool | None = None,
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):
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"""更新消息信息"""
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try:
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chat_manager = get_chat_manager()
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chat_stream = await chat_manager.get_stream(stream_id)
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if not chat_stream:
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logger.warning(f"MessageManager.update_message: 聊天流 {stream_id} 不存在")
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return
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updates = {}
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if interest_value is not None:
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updates["interest_value"] = interest_value
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if actions is not None:
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updates["actions"] = actions
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if should_reply is not None:
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updates["should_reply"] = should_reply
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if updates:
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success = await chat_stream.context_manager.update_message(message_id, updates)
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if success:
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logger.debug(f"更新消息 {message_id} 成功")
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else:
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logger.warning(f"更新消息 {message_id} 失败")
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except Exception as e:
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logger.error(f"更新消息 {message_id} 时发生错误: {e}")
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async def bulk_update_messages(self, stream_id: str, updates: list[dict[str, Any]]) -> int:
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"""批量更新消息信息，降低更新频率"""
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if not updates:
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return 0
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try:
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chat_manager = get_chat_manager()
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chat_stream = await chat_manager.get_stream(stream_id)
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if not chat_stream:
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logger.warning(f"MessageManager.bulk_update_messages: 聊天流 {stream_id} 不存在")
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return 0
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updated_count = 0
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for item in updates:
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message_id = item.get("message_id")
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if not message_id:
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continue
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payload = {key: value for key, value in item.items() if key != "message_id" and value is not None}
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if not payload:
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continue
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success = await chat_stream.context_manager.update_message(message_id, payload)
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if success:
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updated_count += 1
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if updated_count:
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logger.debug(f"批量更新消息 {updated_count} 条 (stream={stream_id})")
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return updated_count
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except Exception as e:
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logger.error(f"批量更新聊天流 {stream_id} 消息失败: {e}")
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return 0
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async def add_action(self, stream_id: str, message_id: str, action: str):
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"""添加动作到消息"""
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try:
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chat_manager = get_chat_manager()
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chat_stream = await chat_manager.get_stream(stream_id)
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if not chat_stream:
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logger.warning(f"MessageManager.add_action: 聊天流 {stream_id} 不存在")
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return
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success = await chat_stream.context_manager.update_message(message_id, {"actions": [action]})
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if success:
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logger.debug(f"为消息 {message_id} 添加动作 {action} 成功")
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else:
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logger.warning(f"为消息 {message_id} 添加动作 {action} 失败")
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except Exception as e:
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logger.error(f"为消息 {message_id} 添加动作时发生错误: {e}")
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async def deactivate_stream(self, stream_id: str):
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"""停用聊天流"""
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try:
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# 通过 ChatManager 获取 ChatStream
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chat_manager = get_chat_manager()
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chat_stream = await chat_manager.get_stream(stream_id)
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if not chat_stream:
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logger.warning(f"停用流失败: 聊天流 {stream_id} 不存在")
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return
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context = chat_stream.stream_context
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context.is_active = False
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# 取消处理任务
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if hasattr(context, "processing_task") and context.processing_task and not context.processing_task.done():
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context.processing_task.cancel()
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logger.info(f"停用聊天流: {stream_id}")
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except Exception as e:
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logger.error(f"停用聊天流 {stream_id} 时发生错误: {e}")
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async def activate_stream(self, stream_id: str):
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"""激活聊天流"""
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try:
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# 通过 ChatManager 获取 ChatStream
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chat_manager = get_chat_manager()
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chat_stream = await chat_manager.get_stream(stream_id)
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if not chat_stream:
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logger.warning(f"激活流失败: 聊天流 {stream_id} 不存在")
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return
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context = chat_stream.stream_context
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context.is_active = True
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logger.info(f"激活聊天流: {stream_id}")
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except Exception as e:
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logger.error(f"激活聊天流 {stream_id} 时发生错误: {e}")
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async def get_stream_stats(self, stream_id: str) -> StreamStats | None:
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"""获取聊天流统计"""
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try:
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# 通过 ChatManager 获取 ChatStream
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chat_manager = get_chat_manager()
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chat_stream = await chat_manager.get_stream(stream_id)
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if not chat_stream:
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return None
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context = chat_stream.stream_context
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unread_count = len(chat_stream.context_manager.get_unread_messages())
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return StreamStats(
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stream_id=stream_id,
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is_active=context.is_active,
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unread_count=unread_count,
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history_count=len(context.history_messages),
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last_check_time=context.last_check_time,
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has_active_task=bool(
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hasattr(context, "processing_task")
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and context.processing_task
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and not context.processing_task.done()
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),
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)
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except Exception as e:
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logger.error(f"获取聊天流 {stream_id} 统计时发生错误: {e}")
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return None
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def get_manager_stats(self) -> dict[str, Any]:
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"""获取管理器统计"""
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return {
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"total_streams": self.stats.total_streams,
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"active_streams": self.stats.active_streams,
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"total_unread_messages": self.stats.total_unread_messages,
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"total_processed_messages": self.stats.total_processed_messages,
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"uptime": self.stats.uptime,
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"start_time": self.stats.start_time,
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}
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async def cleanup_inactive_streams(self, max_inactive_hours: int = 24):
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"""清理不活跃的聊天流"""
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try:
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chat_manager = get_chat_manager()
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current_time = time.time()
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max_inactive_seconds = max_inactive_hours * 3600
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inactive_streams = []
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for stream_id, chat_stream in chat_manager.streams.items():
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if current_time - chat_stream.last_active_time > max_inactive_seconds:
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inactive_streams.append(stream_id)
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for stream_id in inactive_streams:
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try:
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await chat_stream.context_manager.clear_context()
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del chat_manager.streams[stream_id]
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logger.info(f"清理不活跃聊天流: {stream_id}")
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except Exception as e:
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logger.error(f"清理聊天流 {stream_id} 失败: {e}")
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if inactive_streams:
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logger.info(f"已清理 {len(inactive_streams)} 个不活跃聊天流")
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else:
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logger.debug("没有需要清理的不活跃聊天流")
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except Exception as e:
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logger.error(f"清理不活跃聊天流时发生错误: {e}")
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async def _check_and_handle_interruption(self, chat_stream: ChatStream | None = None):
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"""检查并处理消息打断 - 支持多重回复任务取消"""
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if not global_config.chat.interruption_enabled or not chat_stream:
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return
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# 🌟 修复：获取所有处理任务（包括多重回复）
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all_processing_tasks = self.chatter_manager.get_all_processing_tasks(chat_stream.stream_id)
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if all_processing_tasks:
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# 计算打断概率 - 使用新的线性概率模型
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interruption_probability = chat_stream.context_manager.context.calculate_interruption_probability(
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global_config.chat.interruption_max_limit
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)
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# 检查是否已达到最大打断次数
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if chat_stream.context_manager.context.interruption_count >= global_config.chat.interruption_max_limit:
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logger.debug(
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f"聊天流 {chat_stream.stream_id} 已达到最大打断次数 {chat_stream.context_manager.context.interruption_count}/{global_config.chat.interruption_max_limit}，跳过打断检查"
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)
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return
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# 根据概率决定是否打断
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if random.random() < interruption_probability:
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logger.info(f"聊天流 {chat_stream.stream_id} 触发消息打断，打断概率: {interruption_probability:.2f}，检测到 {len(all_processing_tasks)} 个任务")
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# 🌟 修复：取消所有任务（包括多重回复）
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cancelled_count = self.chatter_manager.cancel_all_stream_tasks(chat_stream.stream_id)
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if cancelled_count > 0:
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logger.info(f"消息打断成功取消 {cancelled_count} 个任务: {chat_stream.stream_id}")
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else:
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logger.warning(f"消息打断未能取消任何任务: {chat_stream.stream_id}")
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|
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# 增加打断计数
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await chat_stream.context_manager.context.increment_interruption_count()
|
|
|
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# 🚀 新增：打断后立即重新进入聊天流程
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# 🚀 新增：打断后延迟重新进入聊天流程，以合并短时间内的多条消息
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asyncio.create_task(self._trigger_delayed_reprocess(chat_stream, delay=0.5))
|
|
|
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# 检查是否已达到最大次数
|
|
if chat_stream.context_manager.context.interruption_count >= global_config.chat.interruption_max_limit:
|
|
logger.warning(
|
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f"聊天流 {chat_stream.stream_id} 已达到最大打断次数 {chat_stream.context_manager.context.interruption_count}/{global_config.chat.interruption_max_limit}，后续消息将不再打断"
|
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)
|
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else:
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|
logger.info(
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f"聊天流 {chat_stream.stream_id} 已打断并重新进入处理流程，当前打断次数: {chat_stream.context_manager.context.interruption_count}/{global_config.chat.interruption_max_limit}"
|
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)
|
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else:
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logger.debug(f"聊天流 {chat_stream.stream_id} 未触发打断，打断概率: {interruption_probability:.2f}，检测到 {len(all_processing_tasks)} 个任务")
|
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|
|
async def _trigger_delayed_reprocess(self, chat_stream: ChatStream, delay: float):
|
|
"""打断后延迟重新进入聊天流程，以合并短时间内的多条消息"""
|
|
await asyncio.sleep(delay)
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await self._trigger_reprocess(chat_stream)
|
|
|
|
async def _trigger_reprocess(self, chat_stream: ChatStream):
|
|
"""重新处理聊天流的核心逻辑"""
|
|
try:
|
|
stream_id = chat_stream.stream_id
|
|
|
|
logger.info(f"🚀 打断后立即重新处理聊天流: {stream_id}")
|
|
|
|
# 等待一小段时间确保当前消息已经添加到未读消息中
|
|
await asyncio.sleep(0.1)
|
|
|
|
# 获取当前的stream context
|
|
context = chat_stream.stream_context
|
|
|
|
# 确保有未读消息需要处理
|
|
unread_messages = context.get_unread_messages()
|
|
if not unread_messages:
|
|
logger.debug(f"💭 聊天流 {stream_id} 没有未读消息，跳过重新处理")
|
|
return
|
|
|
|
logger.info(f"💬 开始重新处理 {len(unread_messages)} 条未读消息: {stream_id}")
|
|
|
|
# 创建新的处理任务
|
|
task = asyncio.create_task(
|
|
self.chatter_manager.process_stream_context(stream_id, context),
|
|
name=f"reprocess_{stream_id}_{int(time.time())}"
|
|
)
|
|
|
|
# 设置处理任务
|
|
self.chatter_manager.set_processing_task(stream_id, task)
|
|
|
|
# 等待处理完成（使用超时防止无限等待）
|
|
try:
|
|
result = await asyncio.wait_for(task, timeout=30.0)
|
|
success = result.get("success", False)
|
|
actions_count = result.get("actions_count", 0)
|
|
|
|
if success:
|
|
logger.info(f"✅ 聊天流 {stream_id} 重新处理成功: 执行了 {actions_count} 个动作")
|
|
else:
|
|
logger.warning(f"❌ 聊天流 {stream_id} 重新处理失败")
|
|
|
|
except asyncio.TimeoutError:
|
|
logger.warning(f"⏰ 聊天流 {stream_id} 重新处理超时")
|
|
if not task.done():
|
|
task.cancel()
|
|
except Exception as e:
|
|
logger.error(f"💥 聊天流 {stream_id} 重新处理出错: {e}")
|
|
if not task.done():
|
|
task.cancel()
|
|
|
|
except Exception as e:
|
|
logger.error(f"🚨 触发重新处理时出错: {e}")
|
|
|
|
async def clear_all_unread_messages(self, stream_id: str):
|
|
"""清除指定上下文中的所有未读消息，在消息处理完成后调用"""
|
|
try:
|
|
# 通过 ChatManager 获取 ChatStream
|
|
chat_manager = get_chat_manager()
|
|
chat_stream = await chat_manager.get_stream(stream_id)
|
|
if not chat_stream:
|
|
logger.warning(f"清除消息失败: 聊天流 {stream_id} 不存在")
|
|
return
|
|
|
|
# 获取未读消息
|
|
unread_messages = chat_stream.context_manager.get_unread_messages()
|
|
if not unread_messages:
|
|
return
|
|
|
|
logger.warning(f"正在清除 {len(unread_messages)} 条未读消息")
|
|
|
|
# 将所有未读消息标记为已读
|
|
message_ids = [msg.message_id for msg in unread_messages]
|
|
success = chat_stream.context_manager.mark_messages_as_read(message_ids)
|
|
|
|
if success:
|
|
self.stats.total_processed_messages += len(unread_messages)
|
|
logger.debug(f"强制清除 {len(unread_messages)} 条消息，标记为已读")
|
|
else:
|
|
logger.error("标记未读消息为已读失败")
|
|
|
|
except Exception as e:
|
|
logger.error(f"清除未读消息时发生错误: {e}")
|
|
|
|
async def clear_stream_unread_messages(self, stream_id: str):
|
|
"""清除指定聊天流的所有未读消息"""
|
|
try:
|
|
chat_manager = get_chat_manager()
|
|
chat_stream = await chat_manager.get_stream(stream_id)
|
|
if not chat_stream:
|
|
logger.warning(f"clear_stream_unread_messages: 聊天流 {stream_id} 不存在")
|
|
return
|
|
|
|
context = chat_stream.context_manager.context
|
|
if hasattr(context, "unread_messages") and context.unread_messages:
|
|
logger.debug(f"正在为流 {stream_id} 清除 {len(context.unread_messages)} 条未读消息")
|
|
context.unread_messages.clear()
|
|
else:
|
|
logger.debug(f"流 {stream_id} 没有需要清除的未读消息")
|
|
|
|
except Exception as e:
|
|
logger.error(f"清除流 {stream_id} 的未读消息时发生错误: {e}")
|
|
|
|
# ===== 消息缓存系统方法 =====
|
|
|
|
def add_message_to_cache(self, stream_id: str, message: DatabaseMessages) -> bool:
|
|
"""添加消息到缓存
|
|
|
|
Args:
|
|
stream_id: 流ID
|
|
message: 消息对象
|
|
|
|
Returns:
|
|
bool: 是否成功添加到缓存
|
|
"""
|
|
try:
|
|
if not self.is_running:
|
|
return False
|
|
|
|
self.message_caches[stream_id].append(message)
|
|
self.cache_stats["total_cached_messages"] += 1
|
|
|
|
if message.processed_plain_text:
|
|
logger.debug(f"消息已添加到缓存: stream={stream_id}, content={message.processed_plain_text[:50]}...")
|
|
return True
|
|
except Exception as e:
|
|
logger.error(f"添加消息到缓存失败: stream={stream_id}, error={e}")
|
|
return False
|
|
|
|
def flush_cached_messages(self, stream_id: str) -> list[DatabaseMessages]:
|
|
"""刷新缓存消息到未读消息列表
|
|
|
|
Args:
|
|
stream_id: 流ID
|
|
|
|
Returns:
|
|
List[DatabaseMessages]: 缓存的消息列表
|
|
"""
|
|
try:
|
|
if stream_id not in self.message_caches:
|
|
return []
|
|
|
|
cached_messages = list(self.message_caches[stream_id])
|
|
self.message_caches[stream_id].clear()
|
|
|
|
self.cache_stats["total_flushed_messages"] += len(cached_messages)
|
|
|
|
logger.debug(f"刷新缓存消息: stream={stream_id}, 数量={len(cached_messages)}")
|
|
return cached_messages
|
|
except Exception as e:
|
|
logger.error(f"刷新缓存消息失败: stream={stream_id}, error={e}")
|
|
return []
|
|
|
|
def set_stream_processing_status(self, stream_id: str, is_processing: bool):
|
|
"""设置流的处理状态
|
|
|
|
Args:
|
|
stream_id: 流ID
|
|
is_processing: 是否正在处理
|
|
"""
|
|
try:
|
|
self.stream_processing_status[stream_id] = is_processing
|
|
logger.debug(f"设置流处理状态: stream={stream_id}, processing={is_processing}")
|
|
except Exception as e:
|
|
logger.error(f"设置流处理状态失败: stream={stream_id}, error={e}")
|
|
|
|
def get_stream_processing_status(self, stream_id: str) -> bool:
|
|
"""获取流的处理状态
|
|
|
|
Args:
|
|
stream_id: 流ID
|
|
|
|
Returns:
|
|
bool: 是否正在处理
|
|
"""
|
|
return self.stream_processing_status.get(stream_id, False)
|
|
|
|
def has_cached_messages(self, stream_id: str) -> bool:
|
|
"""检查流是否有缓存消息
|
|
|
|
Args:
|
|
stream_id: 流ID
|
|
|
|
Returns:
|
|
bool: 是否有缓存消息
|
|
"""
|
|
return stream_id in self.message_caches and len(self.message_caches[stream_id]) > 0
|
|
|
|
def get_cached_messages_count(self, stream_id: str) -> int:
|
|
"""获取流的缓存消息数量
|
|
|
|
Args:
|
|
stream_id: 流ID
|
|
|
|
Returns:
|
|
int: 缓存消息数量
|
|
"""
|
|
return len(self.message_caches.get(stream_id, []))
|
|
|
|
def get_cache_stats(self) -> dict[str, Any]:
|
|
"""获取缓存统计信息
|
|
|
|
Returns:
|
|
Dict[str, Any]: 缓存统计信息
|
|
"""
|
|
return {
|
|
"total_cached_messages": self.cache_stats["total_cached_messages"],
|
|
"total_flushed_messages": self.cache_stats["total_flushed_messages"],
|
|
"active_caches": len(self.message_caches),
|
|
"cached_streams": len([s for s in self.message_caches.keys() if self.message_caches[s]]),
|
|
"processing_streams": len([s for s in self.stream_processing_status.keys() if self.stream_processing_status[s]]),
|
|
}
|
|
|
|
|
|
# 创建全局消息管理器实例
|
|
message_manager = MessageManager()
|